Direct Reconstruction of Pharmacokinetic-Rate Images of Optical Fluorophores From NIR Measurements

IEEE Transactions on Medical Imaging

Volumn 28, Issue 9, 2009, Pages 1337-1353

  Alacam, Burak ^a   Yazıcı, Birsen ^b  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Compartmental analysis; direct reconstruction; extended Kalman filter; indocyanine green; pharmacokinetics

Indexed keywords

FLUORESCENT DYE; INDOCYANINE GREEN;

ALGORITHM; ARTICLE; CHEMICAL MODEL; COMPUTER SIMULATION; IMAGE PROCESSING; IMAGE QUALITY; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; NEOPLASM; NORMAL DISTRIBUTION;

ALGORITHMS; COMPUTER SIMULATION; FLUORESCENT DYES; IMAGE PROCESSING, COMPUTER-ASSISTED; INDOCYANINE GREEN; MODELS, CHEMICAL; NEOPLASMS; NORMAL DISTRIBUTION; PHANTOMS, IMAGING; SPECTROSCOPY, NEAR-INFRARED;

EID: 79956352658     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2009.2015294     Document Type: Article

References (53)

1. L. A. Bauer, Applied Clinical Pharmacokinetics. New York: Mc-Graw-Hill, 2001.
2. C. W. Tornoe, “Grey-box PK/PD modeling of insulin,” M.S. thesis, DTU, Lyngby, Jun. 28, 2002.
3. D. H. Anderson, Lecture Notes in Biomathematics. Berlin, Germany: Springer-Verlag, 1983.
4. J. A. Jacquez, Compartmental Analysis in Biology and Medicine, Kinetics of Distribution of Tracer-Labeled Materials. New York: Elsevier, 1972.
5. C. C. Martin, R. F. Williams, J. H. Gao, L. D. Nickerson, J. Xiong, and P. T. Fox, “The pharmacokinetics of hyperpolarized xenon: Implications for cerebral MRI,” J. Magn. Reson. Imag., vol. 7, no. 5, pp. 848–854, 1997.
6. G. R. Moran and F. S. Prato, “Modeling (1H) exchange: An estimate of the error introduced in MRI by assuming the fast exchange limit in bolus tracking,” Magn. Reson. Med., vol. 51, no. 4, pp. 816–827, 2004.
7. R. Srikanchana, D. Thomasson, P. Choyke, and A. Dwyer, “A comparison of pharmacokinetic models of dynamic contrast enhanced MRI,” in Proc. 7th IEEE Symp. Computer-Based Med. Syst., 2004, p. 361.
8. R. E. Carson and K. Lange, “The EM parametric image reconstruction algorithm,” J. Am. Statist. Assoc., vol. 80, no. 389, pp. 20–22, 1985.
9. M. A. Limber M. N. Limber A. Cellar, J. S. Barney, and J. M. Borwein, “Direct reconstruction of functional parameters for dynamic SPECT,” IEEE Trans. Nucl. Sci., vol. 42, no. 4, pp. 1249–1256, Aug. 1995.
10. S. R. Meikle, J. C. Matthews, V. J. Cunningham, D. L. Bailey, L. Livieratos, T. Jones, and P. Price, “Parametric image reconstruction using spectral analysis of PET projection data,” Phys. Med. Biol., vol. 43, pp. 651–666, 1998.
11. W. Reutter, G. T. Gullberg, and R. H. Huesman, “Kinetic parameter estimation from attenuated SPECT projection measurements,” IEEE Trans. Nucl. Sci., vol. 45, no. 6, pp. 1340–1344, Dec. 1998.
12. O. Langer, R. Karch, U. Muller, G. Dobrozemsky, A. Abrahim, M. Zeitlinger, E. Lackner, C. Joukhadar, R. Dudczak, K. Kletter, M. Muller, and M. Brunner, “Combined PET and microdialysis for in vivo assessment of intracellular drug pharmacokinetics in humans,” J. Nucl. Med., vol. 46, no. 11, pp. 1835–1841, 2005.
13. M. Kamasak, C. A. Bouman, E. D. Morris, and K. Sauer, “Direct reconstruction of kinetic parameter images from dynamic PET data,” IEEE Trans. Med. Imag., vol. 24, no. 5, pp. 636–650, May 2005.
14. D. Hansen, A. Spence, T. Carski, and M. Berger, “Indocyanine green (ICG) staining and demarcation of tumor margins in a rat glioma model,” Surg. Neurol, vol. 40, pp. 451–456, 1993.
15. H. Shinohara, A. Tanaka, T. Kitai, N. Yanabu, T. Inomoto, S. Satoh, Hatano, Y. Yamaoka, and K. Hirao, “Direct measurement of hepatic indocyanine green clearance with near-infrared spectroscopy: Separate evaluation of uptake and removal,” Hepatology, vol. 23, pp. 137–144, 1996.
16. A. ElDeosky, A. Seifalian, M. Cope, D. Delpy, and B. Davidson, “Experimental study of liver dysfunction evaluated by direct indocyanine green clearance using near infrared spectroscopy,” Br. J. Surg., vol. 86, pp. 1005–1011, 1999.
17. B. Alacam, B. Yazici, X. Intes, and B. Chance, “Extended Kalman filtering for the modeling and analysis of ICG pharmacokinetics in cancerous tumors using NIR optical methods,” IEEE Trans. IEEE Biomed. Eng., vol. 53, no. 10, pp. 1861–1871, Oct. 2006.
18. M. Gurfinkel, A. B. Thompson, W. Ralston, T. L. Troy, A. L. Moore, T. A. Moore, J. D. Gust, D. Tatman, J. S. Reynolds, B. Muggenburg, K. Nikula, R. Pandey, R. H. Mayer, D. J. Hawrysz, and E. M. Sevick-Muraca, “Pharmacokinetics of ICG and HPPH-car for the detection of normal and tumor tissue using fluorescence, near-infrared reflectance imaging: A case study,” Photochem. Photobiol., vol. 72, pp. 94–102, 2000.
19. D. J. Cuccia, F. Bevilacqua, A. J. Durkin, S. Merritt, B. J. Tromberg, G. Gulsen, H. Yu, J. Wang, and O. Nalcioglu, “In vivo quantification of optical contrast agent dynamics in rat tumors by use of diffuse optical spectroscopy with magnetic resonance imaging coregistration,” Appl. Opt., vol. 42, no. 1, pp. 2940–2950, Jun. 2003.
20. X. Intes, J. Ripoll, Y. Chen, S. Nioka, A. G. Yodh, and B. Chance, “In vivo continuous-wave optical breast imaging enhanced with indocyanine green,” Med. Phys., vol. 30–6, pp. 1039–1047, 2003.
21. B. Alacam, B. Yazici, X. Intes, and B. Chance, “Spatially resolved pharmacokinetic-rate images of ICG using near infrared optical methods,” J. Phys. Med. Biol., vol. 53–4, pp. 837–859, 2008.
22. M. J. Eppstein, D. E. Dougherty, T. Troy, and E. M. Sevick-Muraca, “Biomedical optical tomography using dynamic parameterization and Bayesian conditioning on photon migration measurements,” Appl. Opt., vol. 38–10, pp. 2138–2150, 2001.
23. V. Kolehmainen, S. Prince, S. R. Arridge, and J. P. Kaipio, “State-estimation approach to the nonstationary optical tomography problem,” J. Opt. Soc. Am., vol. A 20, pp. 876–889, 2003.
24. S. Prince, V. Kolehmainen, J. P. Kaipio, M. A. Franceschini, D. Boas, and S. R. Arridge, “Time-series estimation of biological factors in optical diffusion tomography,” Phys. Med. Biol., vol. 48, pp. 1491–1504, 2003.
25. A. B. Milstein, K. J. Webb, and C. A. Bouman, “Estimation of kinetic model parameters in fluorescence optical diffusion tomography,” J. Opt. Soc. Am., vol. 22, no. 7, pp. 1357–1368, 2005.
26. A. B. Milstein, S. Oh, K. J. Webb, C. A. Bouman, Q. Zhang, D. A. Boas, and R. P. Millane, “Fluorescence optical diffusion tomography,” Appl. Opt., vol. 42, pp. 3081–3094, 2003.
27. A. B. Milstein, J. J. Stott, S. Oh, D. A. Boas, R. P. Millane, C. A. Bouman, and K. J. Webb, “Fluorescence optical diffusion tomography using multiple-frequency data,” J. Opt. Soc. Am., vol. A 21, pp. 1035–1049, 2004.
28. C. K. Chui and G. Chen, Kalman Filtering With Real Time Applications. Berlin, Germany: Springer, 1999.
29. J. Kaipio and E. Somersalo, Statistical and Computational Inverse Problems. New York: Springer, 2004.
30. E. M. Sevick-Muraca, G. Lopez, T. L. Troy, J. S. Reynolds, and C. L. Hutchinson, “Fluorescence and absorption contrast mechanisms for biomedical optical imaging using frequency-domain techniques,” Pho-tochem. Photobiol., vol. 66, no. 55, pp. 55–64, 1997.
31. S. R. Arridge, “Optical tomography in medical imaging: Topical review,” Inverse Problems, vol. 15, pp. R41–R93, 1999.
32. M. L. J. Landsman, G. Kwant, G. A. Mook, and W. G. Zijlstra, “Light-absorbing properties, stability, and spectral stabilization of indocyanine green,” J. Appl. Physiol., vol. 40, pp. 575–583, 1976.
33. A. Soubret and V. Ntziachristos, “Fluorescence molecular tomography in the presence of background fluorescence,” Phys. Med. Biol., vol. 51, pp. 3983–4001, 2006.
34. C. Chen, Linear System Theory and Design. New York: Oxford Univ. Press, 1999.
35. F. Fedele, J. P. Laible, and M. J. Eppstein, “Coupled complex adjoint sensitivities for frequency-domain fluorescence tomography: Theory and vectorized implementation,” J. Computat. Phys., vol. 187–2, pp. 597–619, 2003.
36. M. J. Eppstein, F. Fedele, J. P. Laible, C. Zhang, A. Godavarty, and E. M. Sevick-Muraca, “A comparison of exact and approximate adjoint sensitivies in fluorescence tomography,” IEEE Trans. Med. Imag., vol. 22, no. 10, pp. 1215–1223, Oct. 2003.
37. M. Boutayeb, H. Rafaralahy, and M. Darouach, “Convergence analysis of the extended Kalman filter used as an observer for nonlinear deterministic discrete-time systems,” IEEE Trans. Automatic Control, vol. 42, no. 4, pp. 581–586, 1997.
38. B. J. Schnekenburger, “An extended Kalman filter as a parameter estimator for linear discrete time systems,” M.S. thesis, Univ. NJIT, Newark, NJ, USA, 1988.
39. L. Ljung, “Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems,” IEEE Tran. Automa. Control, vol. AC-24, no. 1, pp. 36–50, 1979.
40. B. F. La Scala and R. R. Bitmead, “Design of an extended Kalman filter frequency tracer,” IEEE Trans. Signal Process., vol. 44, no. 3, pp. 739–742, Mar. 1996.
41. F. C. Trigo, R. Gonzales-Lima, and M. B. P. Amato, “Electrical impedence tomography using the extended kalman filtering,” IEEE Trans. Biomed. Eng., vol. 51, no. 1, pp. 72–81, Jan. 2004.
42. M. J. Gorris, D. A. Gray, and I. M. Y. Mareels, “Reducing the computational load of a Kalman filter,” IEEE Electron. Lett., vol. 33–18, pp. 1539–1541, 1997.
43. M. O'Leary, “Imaging With Diffuse Photon Density Waves,” Ph.D. dissertation, Dept. Phys. Astronomy, U. Pennsylvania, Philadelphia, May 1996.
44. H. Dehghani, B. W. Pogue, J. Shudong, B. Brooksby, and K. D. Paulsen, “Three-dimensional optical tomography: Resolution in small-object imaging,” Appl. Opt., vol. 42, no. 16, pp. 3117–3128.
45. B. W. P. Brian, S. X. Song, T. D. T. Tor, T. O. McBride Troy, J. Shudong, and K. D. P. Keith, “Statistical analysis of nonlinearly reconstructed near-infrared tomographic images: Part I: Theory and simulations,” IEEE Trans. Med. Imag., vol. 21, no. 7, pp. 753–764, Jul. 2002.
46. B. W. P. Brian, S. X. Song, T. D. T. Tor, T. O. McBride Troy, J. Shudong, and K. D. P. Keith, “Statistical analysis of nonlinearly reconstructed near-infrared tomographic images: Part II: Experimental interpretation,” IEEE Trans. Med. Imag., vol. 21, no. 7, pp. 764–772, Jul. 2002.
47. M. E. Eames, Matthew, B. W. Pogue, C. M. Carpenter, and H. Dehghani, “Three dimensional near infrared tomography of the breast,” in Proc. SPIE, 2007, vol. 6629, p. 66291K-1.
48. V. Ntziachristos, B. Chance, and A. Yodh, “Differential diffuse optical tomography,” Opt. Express, vol. 5, pp. 230–242, 1999.
49. J. M. Brown and A. J. Giaccia, “The unique physiology of solid tumors: Opportunities (and problems) for cancer therapy,” Cancer Res., vol. 58, no. 7, pp. 1408–1416, 1998.
50. H. Hashizume, P. Baluk, S. Morikawa, J. W. McLean, G. Thurston, S. Roberge, R. K. Jain, and D. M. McDonald, “Openings between defective endothelial cells explain tumor vessel leakiness,” Am. J. Pathol., vol. 156, no. 4, pp. 1363–1380, 2000.
51. K. Licha, “Contrast agents for optical imaging,” Topics Current Chem., vol. 222, pp. 1–29, 2002.
52. Y. Chen, G. Zheng, Z. Zhang, D. Blessington, M. Zhang, and H. Li, “Metabolism enhanced tumor localization by fluorescence imaging: In vivo animal studies,” Opt. Lett., vol. 28, pp. 2070–2072, 2003.
53. R. Weissleder, C. H. Tung, U. Mahmood, and A. Bogdanov, “In vivo imaging with protease-activated near-infrared fluorescent probes,” Nat. Biotech., vol. 17, pp. 375–378, 1999.